Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Ilia Markov"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
IntroductionWe examine the profiles of hate speech authors in a multilingual dataset of Facebook reactions to news posts discussing topics related to migrants and the LGBT+ community. The included languages are English, Dutch, Slovenian, and Croatian
Externí odkaz:
https://doaj.org/article/93f46279998e485ca6b0ca05a053a1c5
Publikováno v:
Journal of Intelligence, Vol 11, Iss 7, p 143 (2023)
In this article, we propose that basic cognitive skills may be fostered and assessed in early childhood educational (pre-K) settings using a technology-based approach to assessment. BELLA (Bilingual English Language Learner Assessment), designed for
Externí odkaz:
https://doaj.org/article/e5ab887edd00454fb78cf4ae8dad856b
Publikováno v:
Journal of Intelligence, Vol 11, Iss 4, p 61 (2023)
With the present paper, we sought to use research findings to illustrate the following thesis: the evolution of language follows the principles of human evolution. We argued that language does not exist for its own sake, it is one of a multitude of s
Externí odkaz:
https://doaj.org/article/fa95781ee63a4348b7e52fa418a0a8ca
Publikováno v:
ACM SIGACT News. 53:64-82
Machine learning models can match or surpass humans on specialized tasks such as image classification [20, 14], speech recognition [37], or complex games [39]. One key tool behind this progress has been a family of optimization methods which fall und
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:9037-9045
One key element behind the recent progress of machine learning has been the ability to train machine learning models in large-scale distributed shared-memory and message-passing environments. Most of these models are trained employing variants of sto
Publikováno v:
Natural Language Engineering, 28(2), 167-197. Cambridge University Press
Natural language engineering
Markov, I, Nastase, V & Strapparava, C 2020, ' Exploiting native language interference for native language identification ', Natural Language Engineering, vol. 28, no. 2, pp. 167-197 . https://doi.org/10.1017/S1351324920000595
Natural language engineering
Markov, I, Nastase, V & Strapparava, C 2020, ' Exploiting native language interference for native language identification ', Natural Language Engineering, vol. 28, no. 2, pp. 167-197 . https://doi.org/10.1017/S1351324920000595
Native language identification (NLI)—the task of automatically identifying the native language (L1) of persons based on their writings in the second language (L2)—is based on the hypothesis that characteristics of L1 will surface and interfere in
Autor:
Ilia Markov, Chethan Kamath, Margarita Capretto, Michael Walter, Michelle Yeo, Guillermo Pascual-Perez, Joël Alwen, Miguel Cueto, Karen Klein, Krzysztof Pietrzak
Publikováno v:
IEEE Symposium on Security and Privacy
While messaging systems with strong security guarantees are widely used in practice, designing a protocol that scales efficiently to large groups and enjoys similar security guarantees remains largely open. The two existing proposals to date are ART
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 36:4889-4899
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 36:4845-4855
Autor:
Magdalena Wolska, Eva Zangerle, Matti Wiegmann, Enrique Manjavacas, Francisco Rangel, Maximilian Mayerl, Paolo Rosso, Efstathios Stamatatos, Gretel Liz De la Peña Sarracén, Martin Potthast, Berta Chulvi, Mike Kestemont, Ilia Markov, Janek Bevendorff, Benno Stein
Publikováno v:
Advances in Information Retrieval: 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 – April 1, 2021, Proceedings, Part II
Lecture Notes in Computer Science ISBN: 9783030852504
CLEF
Lecture Notes in Computer Science ISBN: 9783030852504
CLEF
[EN] The paper gives a brief overview of the three shared tasks to be organized at the PAN 2021 lab on digital text forensics and stylometry hosted at the CLEF conference. The tasks include authorship verification across domains, author profiling for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::880e97998879702044f4576391a43bbb
https://hdl.handle.net/10067/1803140151162165141
https://hdl.handle.net/10067/1803140151162165141